BENINI, LUCA
Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers
2021 Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
An Open-Source Verification Framework for Open-Source Cores: A RISC-V Case Study
2019 Schiavone, P. D.; Sanchez, E.; Ruospo, A.; Minervini, F.; Zaruba, F.; Haugou, G.; Benini, L.
EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices
2022 Busia, Paola; Cossettini, Andrea; Ingolfsson, Thorir Mar; Benatti, Simone; Burrello, Alessio; Scherer, Moritz; Scrugli, Matteo Antonio; Meloni, Paolo; Benini, Luca
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring
2022 Burrello, Alessio; JAHIER PAGLIARI, Daniele; Maria Rapa, Pierangelo; Semilia, Matilde; Risso, Matteo; Polonelli, Tommaso; Poncino, Massimo; Benini, Luca; Benatti, Simone
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge
2023 Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers
2022 Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier Pagliari, D
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks
2022 Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele
On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification
2019 Ruospo, Annachiara; Cantoro, Riccardo; Ernesto, Sanchez; Pasquale Davide Schiavone, ; Angelo, Garofalo; Benini, Luca
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning
2022 Nadalini, Davide; Rusci, Manuele; Tagliavini, Giuseppe; Ravaglia, Leonardo; Benini, Luca; Conti, Francesco
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices
2021 Burrello, A.; JAHIER PAGLIARI, Daniele; Risso, M.; Benatti, S.; Macii, E.; Benini, L.; Poncino, M.
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference
2023 Xie, Chen; Burrello, Alessio; Daghero, Francesco; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele
Citazione | Data di pubblicazione | Autori | File |
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Adaptive Random Forests for Energy-Efficient Inference on Microcontrollers / Daghero, Francesco; Burrello, Alessio; Xie, Chen; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - ELETTRONICO. - (2021), pp. 1-6. (Intervento presentato al convegno 29th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2021 tenutosi a Virtual Conference nel 2021) [10.1109/VLSI-SoC53125.2021.9606986]. | 1-gen-2021 | Daghero, FrancescoBurrello, AlessioXie, ChenBenini, LucaCalimera, AndreaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele | Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers.pdf; Adaptive_Random_Forests_for_Energy-Efficient_Inference_on_Microcontrollers-POSTPRINT.pdf.pdf |
An Open-Source Verification Framework for Open-Source Cores: A RISC-V Case Study / Schiavone, P. D.; Sanchez, E.; Ruospo, A.; Minervini, F.; Zaruba, F.; Haugou, G.; Benini, L.. - 2018-:(2019), pp. 43-48. (Intervento presentato al convegno 26th IFIP/IEEE International Conference on Very Large Scale Integration, VLSI-SoC 2018 tenutosi a Verona (Italia) nel 2018) [10.1109/VLSI-SoC.2018.8644818]. | 1-gen-2019 | Sanchez E.Ruospo A.Benini L. + | - |
EEGformer: Transformer-Based Epilepsy Detection on Raw EEG Traces for Low-Channel-Count Wearable Continuous Monitoring Devices / Busia, Paola; Cossettini, Andrea; Ingolfsson, Thorir Mar; Benatti, Simone; Burrello, Alessio; Scherer, Moritz; Scrugli, Matteo Antonio; Meloni, Paolo; Benini, Luca. - (2022), pp. 640-644. (Intervento presentato al convegno 2022 IEEE Biomedical Circuits and Systems Conference (BioCAS)) [10.1109/BioCAS54905.2022.9948637]. | 1-gen-2022 | Burrello, AlessioBenini, Luca + | - |
Embedding Temporal Convolutional Networks for Energy-efficient PPG-based Heart Rate Monitoring / Burrello, Alessio; JAHIER PAGLIARI, Daniele; Maria Rapa, Pierangelo; Semilia, Matilde; Risso, Matteo; Polonelli, Tommaso; Poncino, Massimo; Benini, Luca; Benatti, Simone. - In: ACM TRANSACTIONS ON COMPUTING FOR HEALTHCARE. - ISSN 2691-1957. - 3:2(2022), pp. 1-25. [10.1145/3487910] | 1-gen-2022 | Alessio BurrelloDaniele Jahier PagliariMatteo RissoMassimo PoncinoLuca Benini + | actppg_journal.pdf; actppg_open.pdf |
Lightweight Neural Architecture Search for Temporal Convolutional Networks at the Edge / Risso, Matteo; Burrello, Alessio; Conti, Francesco; Lamberti, Lorenzo; Chen, Yukai; Benini, Luca; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - In: IEEE TRANSACTIONS ON COMPUTERS. - ISSN 0018-9340. - ELETTRONICO. - 72:3(2023), pp. 744-758. [10.1109/TC.2022.3177955] | 1-gen-2023 | Matteo RissoAlessio BurrelloYukai ChenLuca BeniniEnrico MaciiMassimo PoncinoDaniele Jahier Pagliari + | pit_journal.pdf; Lightweight_Neural_Architecture_Search_for_Temporal_Convolutional_Networks_at_the_Edge.pdf |
Low-Overhead Early-Stopping Policies for Efficient Random Forests Inference on Microcontrollers / Daghero, F; Burrello, A; Xie, C; Benini, L; Calimera, A; Macii, E; Poncino, M; Jahier Pagliari, D (IFIP ADVANCES IN INFORMATION AND COMMUNICATION TECHNOLOGY). - In: VLSI-SoC: Technology Advancement on SoC Design / Grimblatt V., Chang C.H:, Reis R., Chattopadhyay A., Calimera A.. - STAMPA. - Cham (Switzerland) : SPRINGER INTERNATIONAL PUBLISHING AG, 2022. - ISBN 978-3-031-16817-8. - pp. 25-47 [10.1007/978-3-031-16818-5_2] | 1-gen-2022 | Daghero, FBurrello, AXie, CBenini, LCalimera, AMacii, EPoncino, MJahier Pagliari, D | postprint.pdf; vlsi-soc-chapter.pdf |
Multi-Complexity-Loss DNAS for Energy-Efficient and Memory-Constrained Deep Neural Networks / Risso, Matteo; Burrello, Alessio; Benini, Luca; Macii, Enrico; Poncino, Massimo; Jahier Pagliari, Daniele. - ELETTRONICO. - (2022), pp. 1-6. (Intervento presentato al convegno ACM/IEEE International Symposium on Low Power Electronics and Design tenutosi a Boston (USA) nel August 1 - 3, 2022) [10.1145/3531437.3539720]. | 1-gen-2022 | Risso, MatteoBurrello, AlessioBenini, LucaMacii, EnricoPoncino, MassimoJahier Pagliari, Daniele | ispled.pdf; ispled_open.pdf |
On-line Testing for Autonomous Systems driven by RISC-V Processor Design Verification / Ruospo, Annachiara; Cantoro, Riccardo; Ernesto, Sanchez; Pasquale Davide Schiavone, ; Angelo, Garofalo; Benini, Luca. - ELETTRONICO. - IEEE The 32nd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems:(2019). (Intervento presentato al convegno The 32nd IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems tenutosi a Noordwijk, Netherlands, Netherlands nel October 2 – October 4, 2019) [10.1109/DFT.2019.8875345]. | 1-gen-2019 | Annachiara RuospoRiccardo CantoroErnesto SanchezBENINI, LUCA + | 08875345.pdf; DFT2019_postprint.pdf |
PULP-TrainLib: Enabling On-Device Training for RISC-V Multi-core MCUs Through Performance-Driven Autotuning / Nadalini, Davide; Rusci, Manuele; Tagliavini, Giuseppe; Ravaglia, Leonardo; Benini, Luca; Conti, Francesco. - STAMPA. - (2022), pp. 200-216. (Intervento presentato al convegno 22nd International Conference, SAMOS 2022 tenutosi a Samos, Greece nel July 3–7, 2022) [10.1007/978-3-031-15074-6_13]. | 1-gen-2022 | Nadalini, DavideBenini, Luca + | PULP-TrainLib - Springer Version.pdf; PULP-TrainLib-Editoriale-Compressed.pdf |
Q-PPG: Energy-Efficient PPG-Based Heart Rate Monitoring on Wearable Devices / Burrello, A.; JAHIER PAGLIARI, Daniele; Risso, M.; Benatti, S.; Macii, E.; Benini, L.; Poncino, M.. - In: IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS. - ISSN 1932-4545. - ELETTRONICO. - 15:6(2021), pp. 1196-1209. [10.1109/TBCAS.2021.3122017] | 1-gen-2021 | Burrello A.Pagliari Jahier DanieleRisso M.MacIi E.Benini L.Poncino M. + | Q-PPG_Energy-Efficient_PPG-Based_Heart_Rate_Monitoring_on_Wearable_Devices.pdf |
Reducing the Energy Consumption of sEMG-Based Gesture Recognition at the Edge Using Transformers and Dynamic Inference / Xie, Chen; Burrello, Alessio; Daghero, Francesco; Benini, Luca; Calimera, Andrea; Macii, Enrico; Poncino, Massimo; JAHIER PAGLIARI, Daniele. - In: SENSORS. - ISSN 1424-8220. - 23:4(2023), pp. 1-21. [10.3390/s23042065] | 1-gen-2023 | CHEN XIEAlessio BurrelloFrancesco DagheroLUCA BENINIANDREA CALIMERAEnrico MACIIMassimo PoncinoDANIELE PAGLIARI | Reducing the Energy Consumption of sEMG-Based-Gesture-Recognition-at-the Edge-Using-Transformers-and-Dynamic-Inference.pdf |